Prompting Strategies for Planning Apps in Google AI Studio | Alpha | PandaiTech

Prompting Strategies for Planning Apps in Google AI Studio

How to write initial prompts to define your MVP scope and leverage the 'Grounding' feature (via Google Search) to ensure technical accuracy before you start coding.

Learning Timeline
Key Insights

Advantages of Using Grounding

Without Grounding, the AI might suggest libraries or APIs that are already 'deprecated' (outdated). Enabling Google Search ensures the AI refers to the latest live documentation.

Tips for 'Prompt Chaining' in AI Studio

Don't ask the AI to write all the code at once. Use the chat to 'break down' the application into small modules. Start with the scope (MVP scope), then the data structure, and finally request code snippets for each function separately.

Choosing the Right Model

Use Gemini 1.5 Flash during the brainstorming phase because it is extremely fast and free (within quota limits). Switch to Gemini 1.5 Pro when you need the AI to review complex coding logic or for debugging.
Prompts

Prompt for Defining the Application MVP Scope

Target: Google AI Studio (Gemini)
I want to build a Minimum Viable Product (MVP) for a web application called [App Name]. Its main purpose is [Core Function]. Act as a Senior Software Architect and help me define: 1. The core features for the MVP version only. 2. A recommended tech stack (Frontend, Backend, Database). 3. A high-level database schema. Please use Google Search to find the latest stable versions of the recommended libraries and best practices for [Year].
Step by Step

Steps to Start a Prompting Session in Google AI Studio

  1. Visit the Google AI Studio website (aistudio.google.com).
  2. Click the '+ Create New' button on the left panel.
  3. Select 'Chat prompt' to start an interactive conversation for application planning.
  4. In the right sidebar, select either the 'Gemini 1.5 Flash' model (for speed) or 'Gemini 1.5 Pro' (for deeper logic).
  5. Adjust the 'Temperature' to a lower value (around 0.5 - 0.7) to get more technical and precise responses.
  6. Enter an Initial Prompt (System Instruction) to set the AI's role as a Senior Software Architect.

Enabling the Grounding (Google Search) Feature for Data Accuracy

  1. Find the 'Tools' section in the configuration panel on the right.
  2. Click and enable the 'Google Search' (Grounding) checkbox.
  3. Ask the AI about the latest technologies or specific API documentation you want to use in your application.
  4. Check the 'Sources' or references displayed below the AI's response to verify that the information is pulled from actual Google Search results.
  5. Use this Grounding information to determine the most relevant 'Tech Stack' for your MVP.

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